Statistical science
Matching Methods for Causal Inference: A Review and a Look Forward
Elizabeth A. Stuart
págs. 1-21
Assumptions of IV Methods for Observational Epidemiology
Vanessa Didelez, Sha Meng, Nuala A. Sheehan
págs. 22-40
Make Research Data Public?-Not Always so Simple: A Dialogue for Statisticians and Science Editors
Nell Sedransk, Linda J. Young, Katrina L. Kelner, Robert Moffitt, Ani Thakar, Jordan Raddick, Edward J. Ungvarsky, Richard W. Carlson, Rolf Apweiler, Lawrence H. Cox, Deborah Nolan, Keith Soper, Clifford Spiegelman
págs. 41-50
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
Kosuke Imai, Luke Keele, Teppei Yamamoto
págs. 51-71
Dempster'Shafer Theory and Statistical Inference with Weak Beliefs
Ryan R. Martin, Jianchun Zhang, Chuanhai Liu
págs. 72-87
Particle Learning and Smoothing
Carlos M. Carvalho, Michael Johannes, Hedibert Freitas Lopes, Nicholas Polson
págs. 88-106
The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators
Christopher J. Paciorek
págs. 107-125
A Conversation with James Hannan
Dennis Gilliland, R. V. Ramamoorthi
págs. 126-144
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